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Representation Learning

4516 directly classified papers

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Papers

Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models ACL 2024
Space Decomposition for Sentence Embedding ACL 2024
Continual Learning with Global Alignment NIPS 2024
ProxyFusion: Face Feature Aggregation Through Sparse Experts NIPS 2024
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics NIPS 2024
Latent Functional Maps: a spectral framework for representation alignment NIPS 2024
Understanding Visual Feature Reliance through the Lens of Complexity NIPS 2024
Can Transformers Smell Like Humans? NIPS 2024
Disentangled Learning with Synthetic Parallel Data for Text Style Transfer ACL 2024
Generalizable Implicit Motion Modeling for Video Frame Interpolation NIPS 2024
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains NIPS 2024
Co-occurrence is not Factual Association in Language Models NIPS 2024
Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation CVPR 2024
Towards Global Optimal Visual In-Context Learning Prompt Selection NIPS 2024
Causal Estimation of Memorisation Profiles ACL 2024
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models NIPS 2024
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models CVPR 2024
Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach AAAI 2024
Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval ACL 2024
SelfCodeAlign: Self-Alignment for Code Generation NIPS 2024
WebCiteS: Attributed Query-Focused Summarization on Chinese Web Search Results with Citations ACL 2024
Monotonic Representation of Numeric Attributes in Language Models ACL 2024
Probing the Emergence of Cross-lingual Alignment during LLM Training ACL 2024
Efficient Dynamic Hard Negative Sampling for Dialogue Selection ACL 2024
Personas as a Way to Model Truthfulness in Language Models EMNLP 2024